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Financial document processing based on staff line and description language

机译:基于人员线和描述语言的财务凭证处理

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Millions of financial transactions take place every day. Associated with them are documents such as bank cheques, payment slips and bills which have to be processed. A great deal of time, effort and money will be saved if they can be entered into the computer and processed automatically. According to the specific characteristics of financial documents, it can be concluded that it is possible to build a system for recognizing specific types of financial documents, instead of a complex and general one aiming at different kinds of documents. In this paper, a financial document recognition prototype system which can process bank cheques, payment slips and bills, is presented. It consists of four major parts: (a) document image acquisition including scanning and binarization, (b) fixed document processing subsystem based on the detection of staff lines, (c) flexible document processing subsystem operating in a form description language (FDL), and (d) character recognition. Numerous experimental results are presented and discussed.
机译:每天发生数百万笔金融交易。与之相关联的是必须处理的文件,例如银行支票,付款单和票据。如果将它们输入计算机并进行自动处理,将节省大量的时间,精力和金钱。根据财务文件的特定特征,可以得出结论,有可能建立一种识别特定类型财务文件的系统,而不是针对各种文件的复杂而通用的系统。本文提出了一种金融文件识别原型系统,可以处理银行支票,付款单和票据。它由四个主要部分组成:(a)获取包括扫描和二值化的文档图像;(b)基于人员线检测的固定文档处理子系统;(c)以表单描述语言(FDL)操作的灵活文档处理子系统; (d)字符识别。提出并讨论了许多实验结果。

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